So first let's revisit this normal distribution.

Dispersion of the normal distribution

Mu is the mean. Sigma squared is called the variance.

Mean of the distribution

Your purse?

Well, at least I don't have to throw away half

Knowledge

This tells you the height of the normal distribution function.

Can you compute the posterior distribution if the robot first senses red, then moves right by 1, then senses green, then moves right again?

So bridging that somehow.

Finally the shape of this distribution of sample means will be approximately normal even if the distribution in the population isn't normal.

Our mission is universal access to knowledge.

Thus, I suspect that each of these examples was distributed according to a normal distribution or

little higher than if you do it, uh, orally. So we looked at this histogram before.

Let me ask the hard question now.

Linear middle of the distribution

Standard deviation of the distribution

Degrees of freedom for the t distribution

You learned something really important.

And, there's a standard deviation of the distribution of sample means, standard air.

It's the traditional term, but it comes from the fact that we might want to predict the distribution of X2 given that we know the distribution of X1.

What we're going to do, is assume that the feature,

you can unshackle others

And I have to explain to you, the top of this graph shows you that frequency distribution that I talked about.

It's one standard deviation in the distribution of sample means. So this distribution of sample means, again.

Mean value of the normal distribution

Middle value in the normal distribution

Putting it in population parameters, but putting it in sample statistics.

Then we have a Gaussian distribution that is centered around zero, because that's Mu.

We know that now. What are we doing about it? Nothing.

Which is to say he was ignorant, but he was aware of his ignorance.

And so therefore, their kinetic energy can be characterized by a velocity dispersion.

She's internalized her traits, her memories, her knowledge.

What knowledge?

0 density, 1 distribution

So I can get any value less than 20 given this distribution.

MV is the linear middle of the distribution.

STD is the standard deviation of the distribution.

Standard deviation of the normal distribution

That's largely influenced by the sample size.

In this video, I'd like to talk about the Gaussian distribution, which is also called the normal distribution.

If you remember from lecture two when we started to talk about probability, we can use the normal distribution.

Intuitively speaking, this is the case because we actually gain information.

She'll need to go through and check the frequency distribution of different intervals.

What I want to do in this video is to generalize it.